Evidence map›Paper›PMID 39054353›Full record

ArticleNature communications2024

Empowering the on-site detection of nucleic acids by integrating CRISPR and digital signal processing.

Chang Yeol Lee, Hyunho Kim, Ismail Degani, Hanna Lee, Angel Sandoval, Yoonho Nam, Madeleine Pascavis, Hyun Gyu Park, Thomas Randall, Amy Ly and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Towards deployable CRISPR-based nucleic acid detection.Progress in biomedical engineering (Bristol, England) · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Chang Yeol Lee *Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.ORCID 0000-0001-5382-8635
Hyunho Kim *Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.ORCID 0000-0003-3072-6526
Ismail Degani *Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.
Hanna LeeCenter for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.
Angel SandovalCenter for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.ORCID 0000-0002-5518-7138
Yoonho NamCenter for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.ORCID 0009-0001-0807-0471
Madeleine PascavisCenter for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.ORCID 0000-0001-5456-2138
Hyun Gyu ParkDepartment of Chemical and Biomolecular Engineering (BK21 Four), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.
Thomas RandallDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.
Amy LyDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Cesar M CastroCenter for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA. Castro.Cesar@mgh.harvard.edu.ORCID 0000-0002-1159-5658
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA. hlee@mgh.harvard.edu.ORCID 0000-0002-0087-0909

Funding

Expanding early cancer detection with high throughput OCEANA - Ovarian Cancer Exosome Analysis with Nanoplasmonic ArrayU01CA284982 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Cesar M Castro, Hakho Lee · 2023 to 2026
$3.7M
CaNCURE: Cancer Nanomedicine Co-ops For Undergraduate Research ExperiencesR25CA174650 · NCI · NORTHEASTERN UNIVERSITY · PI SRINIVAS SRIDHAR · 2014 to 2026
$3.4M
Clinical platform for high-throughput analyses of extracellular vesiclesR01CA229777 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, SKOG, JOHAN · 2018 to 2022
$3.2M
Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment MonitoringR01CA239078 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BALAJ, LEONORA, LEE, HAKHO · 2020 to 2024
$3.1M
High throughput nanoplasmonic exosome testing (NEXT) of immunotherapies in bladder cancerR01CA264363 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, LEE, HAKHO · 2021 to 2024
$2.4M
Composing CODAs to cervical cancer screening through an integrated CRISPR and fluorescent nucleic acid approachU01CA279858 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Cesar M Castro, Hakho Lee · 2023 to 2026
$2.1M
3D Fourier Imaging System for High Throughput Analyses of Cancer OrganoidsR21CA267222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2022 to 2024
$613k
NCI NIH HHS R01 CA229777NCI NIH HHS R01 CA239078NCI NIH HHS R01 CA264363NCI NIH HHS R21 CA267222NCI NIH HHS U01 CA279858NCI NIH HHS U01 CA284982U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 5R25CA174650
6 · The paper itself

Abstract

Addressing the global disparity in cancer care necessitates the development of rapid and affordable nucleic acid (NA) testing technologies. This need is particularly critical for cervical cancer, where molecular detection of human papillomavirus (HPV) has emerged as an accurate screening method. However, implementing this transition in low- and middle-income countries has been challenging due to the high costs and centralized facilities required for current NA tests. Here, we present CreDiT (CRISPR Enhanced Digital Testing) for on-site NA detection. The CreDiT platform integrates i) a one-pot CRISPR strategy that simultaneously amplifies both target NAs and analytical signals and ii) a robust fluorescent detection based on digital communication (encoding/decoding) technology. These features enable a rapid assay (<35 minutes) in a single streamlined workflow. We demonstrate the sensitive detection of cell-derived HPV DNA targets down to single copies and accurate identification of HPV types in clinical cervical brushing specimens (n = 121).

Indexed as

Papillomavirus InfectionsUterine Cervical NeoplasmsCervix UteriClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDNA, ViralFemaleHumansPapillomaviridaeSignal Processing, Computer-AssistedDNA, Viral

Identifiers

PMID39054353
PMCPMC11272939

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.